Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Genome size and operon content.

Joshua L Cherry1

  • 1Department of Biology, University of Utah, Salt Lake City, UT 84112, USA. cherry@oeb.harvard.edu

Journal of Theoretical Biology
|March 19, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Repeated introductions and widespread transmission of human metapneumovirus in Côte d'Ivoire.

BMC infectious diseases·2025
Same author

GnT Motifs Can Increase T:A→G:C Mutation Rates Over 1000-fold in Bacteria.

Molecular biology and evolution·2025
Same author

Heterozygote advantage cannot explain MHC diversity, but MHC diversity can explain heterozygote advantage.

bioRxiv : the preprint server for biology·2025
Same author

A Short-Term View of Protein Sequence Evolution from Salmonella.

Genome biology and evolution·2025
Same author

Genomic perspectives on foodborne illness.

Proceedings of the National Academy of Sciences of the United States of America·2024
Same author

Genomic perspectives on foodborne illness.

medRxiv : the preprint server for health sciences·2024
Same journal

An integrative model of FGF2-induced signaling and muscle cell proliferation.

Journal of theoretical biology·2026
Same journal

A Hybrid Reaction-Diffusion and Mechanical Stimulus Model for Mandibular Bone Remodeling under Chewing and Vibratory Loading.

Journal of theoretical biology·2026
Same journal

Integrated tick management strategies in fragmented peridomestic environments.

Journal of theoretical biology·2026
Same journal

Joint likelihood-free inference of the number of selected single nucleotide polymorphisms and their selection coefficients in an evolving population.

Journal of theoretical biology·2026
Same journal

Misspecification of the generation time distribution and its impact on R<sub>t</sub> estimates in structured populations.

Journal of theoretical biology·2026
Same journal

Stability-driven assembly meets Prigoginian informational dissipation. A mean-field ODE comment of entropy reduction and emergent proto-self.

Journal of theoretical biology·2026
See all related articles

Prokaryotic gene organization into operons was analyzed by examining gene orientation. This method reveals varying clustering degrees across prokaryotes and suggests implications for operon evolution.

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Prokaryotic genes are frequently organized into operons, which are gene clusters transcribed together.
  • Operon organization implies that adjacent genes share the same transcriptional direction.
  • This directional tendency can quantify genome-wide operon clustering.

Purpose of the Study:

  • To develop and apply a method for estimating the degree of gene clustering into operons within prokaryotic genomes.
  • To compare operon organization across diverse bacterial and archaeal species.
  • To investigate the relationship between genome size and operon clustering.

Main Methods:

  • Analyzing the orientation of neighboring genes within sequenced and annotated prokaryotic genomes.

Related Experiment Videos

  • Applying the gene orientation tendency method to Escherichia coli and Saccharomyces cerevisiae.
  • Extending the analysis to 26 bacterial and archaeal genomes.

    • Main Results:

    • The method accurately estimated operon clustering in Escherichia coli, aligning with existing knowledge.
    • Results for Saccharomyces cerevisiae supported the rarity of polycistronic transcripts in eukaryotes.
    • Significant variation in gene clustering was observed across 26 prokaryotic genomes.
    • A trend of decreased operon clustering in larger genomes was identified.

    Conclusions:

    • The gene orientation analysis is a robust and broadly applicable method for assessing operon organization.
    • Eukaryotic genomes show minimal operon-like clustering, consistent with transcriptional differences.
    • The inverse relationship between genome size and operon clustering in prokaryotes may offer insights into genome evolution.